{"total":17,"rows":[{"id":"2305.02541","title":"Catch Missing Details: Image Reconstruction with Frequency Augmented Variational Autoencoder","created":"2023-05-04","cited_by_count":18,"area":null},{"id":"2210.13604","title":"The Robustness Limits of SoTA Vision Models to Natural Variation","created":"2022-10-24","cited_by_count":15,"area":null},{"id":"2203.07302","title":"Mixed Evidence for Gestalt Grouping in Deep Neural Networks","created":"2022-03-14","cited_by_count":12,"area":null},{"id":"2310.16741","title":"Stochastic Latent Transformer: Efficient Modelling of Stochastically Forced Zonal Jets","created":"2023-10-25","cited_by_count":8,"area":null},{"id":"2404.05290","title":"MindSet: Vision. A toolbox for testing DNNs on key psychological experiments","created":"2024-04-08","cited_by_count":8,"area":null},{"id":"2603.27101","title":"PRUE: A Practical Recipe for Field Boundary Segmentation at Scale","created":"2026-03-28","cited_by_count":5,"area":null},{"id":"2311.11029","title":"Geometric Data Augmentations to Mitigate Distribution Shifts in Pollen Classification from Microscopic Images","created":"2023-11-18","cited_by_count":2,"area":null},{"id":"2505.03569","title":"Corner Cases: How Size and Position of Objects Challenge ImageNet-Trained Models","created":"2025-05-06","cited_by_count":1,"area":null},{"id":"2510.17303","title":"Symmetries in PAC-Bayesian Learning","created":"2025-10-20","cited_by_count":1,"area":null},{"id":"2212.00394","title":"From CNNs to Shift-Invariant Twin Models Based on Complex Wavelets","created":"2022-12-01","cited_by_count":0,"area":null},{"id":"2305.13536","title":"Subspace-Configurable Networks","created":"2023-05-22","cited_by_count":0,"area":null},{"id":"2406.13060","title":"Scale-Translation Equivariant Network for Oceanic Internal Solitary Wave Localization","created":"2024-06-18","cited_by_count":0,"area":null},{"id":"2505.13137","title":"Learning to Adapt to Position Bias in Vision Transformer Classifiers","created":"2025-05-19","cited_by_count":0,"area":null},{"id":"2511.02825","title":"Neurosymbolic Deep Learning Semantics","created":"2025-11-04","cited_by_count":0,"area":null},{"id":"2511.04312","title":"Probing the Probes: Methods and Metrics for Concept Alignment","created":"2025-11-06","cited_by_count":0,"area":null},{"id":"2604.27870","title":"Parameter-Efficient Architectural Modifications for Translation-Invariant CNNs","created":"2026-04-30","cited_by_count":0,"area":null},{"id":"2607.26090","title":"Shape-Based Inductive Bias for Glioma Grading from Tumor Contours","created":"2026-07-27","cited_by_count":0,"area":null}],"next_cursor":null}